49 search results - page 5 / 10 » Particle methods for maximum likelihood estimation in latent... |
NIPS
2008
13 years 9 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
JMLR
2010
13 years 2 months ago
2010
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
CSDA
2006
13 years 7 months ago
2006
The choice of the best-suited statistical distribution for modeling data is not a trivial issue. Unless a sound theoretical background exists for selecting a particular distributi...
ICA
2010
Springer
13 years 8 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...